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Speaker 1: Hello the Internet, and welcome to season two oh three,

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Speaker 1: Episode one of Joe's production of I Heart Radio. This

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Speaker 1: is a podcast where we take a deep dive into

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Speaker 1: America's shared consciousness. It's Monday, September twenty one. My name

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Speaker 1: is Jack O'Brien aka Oh. Trump is bigger. He's bigger,

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Speaker 1: thank you, and you aren't on TV the ratings. Trump

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Speaker 1: delivers those musley Ham sized thighs. Oh no, I said

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Speaker 1: too much about the thighs. That is courtesy of Justin

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Speaker 1: Gleastenings and it is yeah, a little uh losing my

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Speaker 1: religion for Donald Trump. And I'm thrilled to be joined

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Speaker 1: as always buy my co host, Mr Miles Grab. I

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Speaker 1: mean you heard it. When then it comes to long games,

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Speaker 1: I'm not good at throwing frisbee. So here we go

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Speaker 1: with this rendition of frisbee. Frisbee, frisbee, frisbee. Please don't

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Speaker 1: make me play because I can't. You toss it with

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Speaker 1: the subtle fling the grass of slick with summer rain,

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Speaker 1: and I cannot complete the catch frisbee. You could have

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Speaker 1: your choice of teams, but I may never run again.

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Speaker 1: I think I jacked my knee. Frisbee now shout out

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Speaker 1: to Christie Laura underscore you started. I love to see this.

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Speaker 1: Someone does one thing, then you hop onto you make

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Speaker 1: a whole a k A. So credit to you and

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Speaker 1: thank you for understanding my plate as a terrible thrower

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Speaker 1: of the disk. That's beautiful. That's I heard. That was

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Speaker 1: written all in one day. Yeah on the spot man, Yeah,

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Speaker 1: same day that they wrote an a K for I

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Speaker 1: Will Always love you. Uh well, we are thrilled to

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Speaker 1: be joined by a brilliant writer and comedian who's written

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Speaker 1: for The Pete Home Show and Cedric's Barber Battle. He

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Speaker 1: co hosts the great podcast Couple of Therapy with Naomick Paragin,

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Speaker 1: and his interview podcast Beginnings just celebrated it's five hundredth episode.

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Speaker 1: In a past life, he was a philosophy professor and

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Speaker 1: PhD candidate. Please welcome the brilliant, the deep, the hilarious

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Speaker 1: Andy everyone was. I'm so glad that everything I've done

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Speaker 1: since I moved to Hollywood is just development or pilots

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Speaker 1: that went nowhere. You have to kind of dig deep

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Speaker 1: in there for something. Man. That's cool. Love Cedric. It's cool.

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Speaker 1: I wrote that entire show with a friend Di Biden

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Speaker 1: because he had hired all of his friends to write

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Speaker 1: it and they weren't writers. So at some point they're like,

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Speaker 1: maybe we should hire actual writers to write this show. Yeah,

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Speaker 1: you got some, you got some show is in development? Also,

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Speaker 1: is that? Is that what I'm seeing like every other person? Yes, no,

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Speaker 1: I don't know, but you have shown with like some

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Speaker 1: companies I've heard of, like I don't know CBS, So

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Speaker 1: you know, yes that is true? What what's good? Man?

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Speaker 1: How have you been? Uh? Well, uh, I mean the

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Speaker 1: truth is incredibly depressed. But yeah, you know, the slow

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Speaker 1: dystopia is upon us and uh I've just been trying

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Speaker 1: to claw out from a hole. But uh, you know,

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Speaker 1: day to day it's not bad. We have our dogs

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Speaker 1: and remission. Mabel is in remission, so that is that

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Speaker 1: has been a joy. But you know, driving to the

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Speaker 1: vet every week for months for chemotherapy, it takes its

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Speaker 1: toll on you. Who knew cancer, who knew having a lot?

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Speaker 1: Taking care of a loved one, even if it's a

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Speaker 1: dog with cancer is difficult. Yeah, it's brutal, man. How

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Speaker 1: long How long will you were you doing that for? Oh? God?

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Speaker 1: So Mabel we found she had a breast lump in

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Speaker 1: February and then she had a mistake toomy and then

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Speaker 1: chemo was like three months long. Nothing to uplift a

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Speaker 1: show like immediately talking about the slow dystopia and then

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Speaker 1: launching into dog cancer. What is the third act? What

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Speaker 1: is the It's funny because our last guest, you me,

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Speaker 1: she was like she had a thing too where she said, yeah,

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Speaker 1: it's been tough, but hers was like a very positive turn.

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Speaker 1: It's like, in the span of like a couple of months,

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Speaker 1: her mom was diagnosed with cancer and then declared cancer free.

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Speaker 1: So we've we've had the full spectrum of story so far. Yeah. Look,

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Speaker 1: Mabel's in remission, so that's great. Naomi, my dear love

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Speaker 1: just taped her Netflix special and she destroyed it. That

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Speaker 1: was amazing. I'm writing a movie for the first time.

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Speaker 1: That's amazing. So there are good things that are happening.

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Speaker 1: So it's not all things and lessons doom and despair.

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Speaker 1: How are you guys? You know, you know, just looking

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Speaker 1: looking to America's rotten eye every day. Literally everything I

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Speaker 1: needed to know it was containing those two syllables A pause,

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Speaker 1: and you know, you know, like everybody else, just hanging

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Speaker 1: on by our fingernails waiting for that cartoon bird to

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Speaker 1: pluck the fingers off the and then another bird. And

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Speaker 1: you're like, I got my flu shot this morning, as

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Speaker 1: did my five year old. I highly recommend people get

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Speaker 1: their flu shots also in l A. Get your dogs

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Speaker 1: flu shots, get your canine flu shots. That I didn't

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Speaker 1: realize that was the whole thing since until like everyone

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Speaker 1: in our like studio thread was like getting my dog

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Speaker 1: their flu shot and realizing canine flu is just run

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Speaker 1: this year. And I suggest instead of getting a flu shot,

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Speaker 1: either for your for your son, well, for your dog,

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Speaker 1: that's great, but for yourself or your for your family,

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Speaker 1: I just take tick medicine, okay, good, Yeah, and prevent

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Speaker 1: I've heard that prevents against the Put a little a

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Speaker 1: little the oil on the back of your neck so

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Speaker 1: you can't scratch it at I put on a flea collar,

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Speaker 1: and I think that protects against germs. Well, we should say,

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Speaker 1: because this isn't a video show you you are wearing

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Speaker 1: one of those neck cones right now. Yeah, so I

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Speaker 1: can't lick the medicine off, right exactly? All right, Andy,

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Speaker 1: We're gonna get to know you a little bit better

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Speaker 1: in a moment. First, a couple of things we're talking about.

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Speaker 1: We're going to talk about epics with a k data breach,

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Speaker 1: which means that far right web users organizations are being exposed,

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Speaker 1: which is a good thing. So happy news. Up top,

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Speaker 1: we're gonna talk about more Facebook memos that got leaked.

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Speaker 1: We're gonna talk about We're gonna just do a quick

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Speaker 1: p s A that damn crafts are also greedy pieces

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Speaker 1: of ship based on their their work on the Yeah,

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Speaker 1: on the pharmaceutical bill. We're gonna talk about the release

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Speaker 1: of Breakers Island inmates amid just hell on Earth conditions

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Speaker 1: at the jail that. We're gonna talk about the QR code,

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Speaker 1: the rise, the fall, the re rise of the QR code,

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Speaker 1: the Mighty q R, all of that plenty more. But

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Speaker 1: first Andy, we like to ask our guests, what is

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Speaker 1: something from your search history? Okay, so this is actually

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Speaker 1: this directly relates to the last time that I was on.

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Speaker 1: So the last thing I searched was Phoenix, Vault of Heracles,

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Speaker 1: Phoenix about f E N y X. The last time

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Speaker 1: I was on, I was like despairing because I I

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Speaker 1: finished Zelda and I didn't have a new game to play,

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Speaker 1: and I asked the Zeke Gang for some recommendations. I

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Speaker 1: got a ton of great ones and I started playing

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Speaker 1: this is the worst name of the world, but it's

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Speaker 1: a fun game. Immortals Phoenix Rising. I see so many

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Speaker 1: ads for that game. It's fun. It's it's a terrible,

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Speaker 1: terrible name again, Phoenix about fie n y x X.

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Speaker 1: That's what I was good. Yeah, so, and it's a

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Speaker 1: Zelda light game you play with uh you know throughout

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Speaker 1: Greek mythology basically, were you a Greek mythology fan growing up?

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Speaker 1: That's interesting like that. Yeah, we we talked about that

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Speaker 1: on a episode a while back, that like that is

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Speaker 1: a stage that a lot of kids go through, like

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Speaker 1: what some kids get obsessed with dinosaurs. One of my

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Speaker 1: sons is super obsessed with trains, and some kids, Like

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Speaker 1: when I just put the call out, I was like,

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Speaker 1: what was one of your like childhood obsessions. That was

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Speaker 1: really strange, And a lot of people were like five

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Speaker 1: years hard on Greek mythology. That's that's war wasn't really Yeah,

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Speaker 1: because I went to like the Autry Museum and there

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Speaker 1: was like a Civil War exhibit and then my dad

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Speaker 1: was like explaining, like as he would which is like no,

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Speaker 1: like no punches, whole held like explanation of the Civil War,

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Speaker 1: not what what the fuck? Yeah, And I'm like didn't

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Speaker 1: why why is this stuff in here? He's like, good question.

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Speaker 1: Which version did he give you though? Was it like

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Speaker 1: its states rights or was it like no, no, the

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Speaker 1: South wanted to keep My father is a proud black man,

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Speaker 1: said this was about state rightsably wrong. He was like,

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Speaker 1: this was to stop slavery. And I'm like slavery. He's like,

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Speaker 1: they don't have that exhibit in here. I don't know

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Speaker 1: your dad. He could have been a Larry Elder fan.

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Speaker 1: Yeah right, you never know, you never know. Yeah, but

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Speaker 1: he got an education and grew up fairly aware. So

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Speaker 1: yeah that that passed down to me. Damn. You guys

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Speaker 1: were some old as soul I was. I was just

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Speaker 1: into sharks, sharks and quart. See. My whole thing was

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Speaker 1: I had so many older family members and like kids

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Speaker 1: I looked up to around me. I was always the

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Speaker 1: youngest that I was always like trying. I was trying

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Speaker 1: to swing way out of my weight class every time

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Speaker 1: just to kind of catch up with the people around me.

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Speaker 1: So yeah, it was I didn't have time for sharks Jack. Yeah,

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Speaker 1: I was whatever the opposite of precocious is. I was

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Speaker 1: like a very dumb kid, like very just like simple

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Speaker 1: and off in my own world because wearing like a

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Speaker 1: hat with like the spinny blade on too. Yeah. I

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Speaker 1: were that every day to school until eighth grade. Uh.

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Speaker 1: I just like stories about like people turning into monsters

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Speaker 1: and spiders and stuff. Yeah, yeah, this look Greek mythology

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Speaker 1: was just animorphus before that existed. I was too young

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Speaker 1: for animorphs. Great, right, but the animalphs weren't banging humans. Well,

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Speaker 1: they kept that part there was like I mean it

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Speaker 1: out Zeus is a serial sexual assaulter. Like they keep

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Speaker 1: that stuff out of the kid's version. Yeah, right, the

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Speaker 1: kids version of Greek exactly. So is the game? Does

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Speaker 1: the game kind of deliver on like your dreams as

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Speaker 1: a as a child of like getting to you know,

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Speaker 1: funk around and be inside the world of Greek mythology. Yeah,

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Speaker 1: you get to hang out with with Athena, you get

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Speaker 1: to uh shoot chimeras, and you get to punch others.

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Speaker 1: I really Uh, yesterday was yam and so my brain

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Speaker 1: from fasting all day, my brain was destroyed. And then

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Speaker 1: I like to break the fast. I basically ate a

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Speaker 1: full dinner and a bag of potato chips. There you go,

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Speaker 1: so like, I'm just like I'm in my brain right

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Speaker 1: now desperately thinking about like what's another thing for a cyclops?

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Speaker 1: You guys like fighting cyclops side side a clopy cyclopie,

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Speaker 1: whatever it is. I'm down. Oh, then you're gonna love Phoenix.

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Speaker 1: Was there ever a moment like, because I know you're

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Speaker 1: you're you're, you have an eye for detail, you like

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Speaker 1: love information and things like that, where there moments you're

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Speaker 1: like I cannot divide by this thing that they've presented

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Speaker 1: to me, or overall it was a nice presentation. No,

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Speaker 1: because I've learned to like shut that part of my

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Speaker 1: if I want to have fun, I've learned how to

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Speaker 1: like move from like didactic professorial mode into like, look,

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Speaker 1: it's taken eight years of therapy, but you know I'm

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Speaker 1: not sitting here like critiquing like, well they didn't get uh,

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Speaker 1: they didn't get the manticor exactly correct. So I'm gonna

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Speaker 1: write to you, be soft and make sure they hear

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Speaker 1: what I have to say. I'm gonna I'm gonna have

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Speaker 1: a long Twitter thread. Why immortals, Phoenix raising is inaccurate

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Speaker 1: a thread, although if we're being honestly, they did not

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Speaker 1: get the man to cork correct. Yeah, but I'm not

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Speaker 1: I'm not going to be the one to point it out.

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Speaker 1: What if something you think is overrated? Guys? Have you

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Speaker 1: heard about this thing the Oedipus complex? Have you heard?

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Speaker 1: I can't believe it. That's all anytime you bring up

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Speaker 1: Freudian psychotherapy, all everyone's talking about is the Oedipus Do

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Speaker 1: you know what it is? Oh? You do? I know?

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Speaker 1: Like about the inedible complex? Yeah? Yeah, you kill your

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Speaker 1: dad and you have sex with your mom and they

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Speaker 1: rip your eyes out? What is that about? That's gross.

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Speaker 1: I remember in high school we had to read Oedipus

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Speaker 1: Rex and I was like, bro, this is the one

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Speaker 1: where has sex with his mom and rips his eyes out,

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Speaker 1: And like my teacher was like, there's a lot more

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Speaker 1: than just that, and I'm like, okay, I thought you

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Speaker 1: were going to say she was like spoilers people. I

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Speaker 1: think it's just more like that. This idiot who like

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Speaker 1: young smartass, just be like, we don't need to read this.

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Speaker 1: This guy bangs mom or his eyes out. I can

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Speaker 1: tell you everything you needed to know. Yeah, I'm the

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Speaker 1: spark notes right here as a learned, learned man of books.

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Speaker 1: Uh andy, is the EDI piss complex like overrated? Like

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Speaker 1: did Freud say, oh, this is something that happens like

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Speaker 1: sometimes and people are like Freud said, we all want

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Speaker 1: to funk our moms? Or is it did Freud actually

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Speaker 1: say that? Ship? Yeah, it's not like Freud himself, it's

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Speaker 1: our six society. It's our sixth society that like like

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Speaker 1: really fixated upon that and then turned it into like

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Speaker 1: a porn genre. Right, yeah, that is wildly popular. What

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Speaker 1: is it? If it's your stepmother? Though? That's the edible

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Speaker 1: it's step step step step step. I think the other

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Speaker 1: versions the electric complex if our remember? Right? But it's gross.

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Speaker 1: Let's stop talking about it. What's doing it? Was? It

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Speaker 1: hasn't been? Wait what was the last time you had

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Speaker 1: to confront something like this? Because I feel like, man,

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Speaker 1: I haven't really I don't. I haven't seen it on

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Speaker 1: Twitter recently, but I'm has something come up recently? We're like,

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Speaker 1: here we go with that bullshit? Just like all these

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Speaker 1: creepy billionaires are doing this kind of stuff, am I right?

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Speaker 1: Billionaires killing their dad's and sleeping with their moms. That's

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Speaker 1: why we got to get rid of that. It's not

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Speaker 1: about the it's not about any economic stuff. Is that

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Speaker 1: they're these gross creeps. I mean, you think Epstein is

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Speaker 1: the only one, right, Yeah, they're all like that. What

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Speaker 1: is something you think is underrated? Andy? Hey, have you

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Speaker 1: guys watched that TV show Lodge forty nine? No? I

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Speaker 1: don't think I have. Yeah, Okay, and that's because it's underrated.

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Speaker 1: Here's this is here for real Lodge forty nine. So

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Speaker 1: I love this show. Oh. I interviewed the creator, Jim

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Speaker 1: Gavin on my podcast a while ago. But I've been

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Speaker 1: holding back the second season because like it got canceled

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Speaker 1: after the second season and I knew there were no

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Speaker 1: new episodes coming. I really want to say for it,

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Speaker 1: it's one of the best shows in the last ten years,

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Speaker 1: just hands down. It's about I think on Long Beach

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Speaker 1: basically about like a bunch of different characters who are

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Speaker 1: very down and out but find meaning in this lodge.

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Speaker 1: And it's just like, you know, a gathering place where

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Speaker 1: they can talk and meet and have a community together.

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Speaker 1: But there's all this other kind of stuff going out,

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Speaker 1: like with the kind of mystical history of the Lodge,

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Speaker 1: but it takes it's there's there's no kind of like

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Speaker 1: actual supernatural stuff. It all takes place in reality, but

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Speaker 1: they're just kind of like their own lives are kind

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Speaker 1: of just like imploding, and so they kind of invest

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Speaker 1: in this lodge and in the mythology of the Lodge

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Speaker 1: and its stars Kurt Russell's son and a bunch of

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Speaker 1: great character actors, and it's it's I think you can

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Speaker 1: get it on Hulu. You can. And the title refers

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Speaker 1: to the Crying of Lot forty nine, which is a

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Speaker 1: novella by Thomas Pynchon that has that sort of it's

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Speaker 1: not supernatural, but it seems like there's like all this

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Speaker 1: stuff going on below the surface and all these like

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Speaker 1: patterns all around us and type thing that he says

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Speaker 1: was an inspiration. I am reading this off of Wikipedia,

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Speaker 1: but that is one of my favorite, uh, one of

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Speaker 1: my favorite. I thought it was a novel. I was

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Speaker 1: proud when I read it, but apparently just a novella,

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Speaker 1: so putting that they're trying to steal that from you.

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Speaker 1: They're trying to steal that accomplishment for me, it's a novel. Yeah,

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Speaker 1: thank you. Is it about the author's intent that dictates

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Speaker 1: if it's a novel or novella or what's like the

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Speaker 1: what do you how do you even determine that? I

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Speaker 1: think it's a number of words a word count, but

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Speaker 1: I also think it's fuzzy. M hm, Yeah, it's a novel.

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Speaker 1: They're just trying to compare to like Gravity's Rainbow, which

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Speaker 1: is like ten thousand pages, right, all relative, all rights?

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Speaker 1: The show okay, the most underrated show, you said, I

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Speaker 1: like this. Yeah, I'm definitely gonna check it out. Do

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Speaker 1: you are you streaming it as of late or what? What?

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Speaker 1: I just started going through the second season, and uh,

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Speaker 1: it's just incredible and I wish they had had more seasons.

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Speaker 1: Where is it available for streaming? Where are you? Hello? Okay, yes,

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Speaker 1: probably the AM's It was on m C. I guess

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Speaker 1: if you have the A m C app. I don't

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Speaker 1: know how many people I don't have the A m C. Plus. Oh,

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Speaker 1: you don't need anything else. Once you get you're good.

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Speaker 1: All right, let's take a quick break. We'll be right back.

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Speaker 1: And we're back. And so this is a bit of

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Speaker 1: good news. Epic, which is the web host their CEO

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Speaker 1: has come up a couple of times in recent weeks.

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Speaker 1: Uh because his name not this isn't the reason he's

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Speaker 1: come up, but you might remember him because his name

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Speaker 1: is Rob Monster. Yeah, bro, and they that's his given name.

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Speaker 1: I mean, he looks so lame, You're like, honestly, you

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Speaker 1: might just have a cool name and just been like,

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Speaker 1: look like this guy, I don't know. Yeah, he was

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Speaker 1: inspired by Rob Zombie, but like couldn't be specific. We

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Speaker 1: changed it. I'm looking at Wikipedia, changed it from Rob

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Speaker 1: Frankenstein and people are like, oh, so you're a doctor.

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Speaker 1: And he was like meant the monster bolt tattoos. Bro.

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Speaker 1: But anyways, for a long time, the far right has

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Speaker 1: kind of been able to get away with hiding out

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Speaker 1: on epic web hosted websites, and Anonymous did their thing

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Speaker 1: and basically leaked about ten years worth of data and

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Speaker 1: it is everything. It's fun. I mean, like, you know,

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Speaker 1: it's the kind of information that far right researchers, journalists,

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Speaker 1: activists have always been like, who is actually running these sites?

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Speaker 1: Like who who's who are these domains registered to? Because

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Speaker 1: that was the whole deal with Epic. Rob Monster was

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Speaker 1: like free speech, baby, you know, that's why he was

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Speaker 1: hosting ship like gab and Parlor, fucking the gop Texas

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Speaker 1: web website, all kinds of ship like that, and it's

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Speaker 1: always under this thing of like your information is sacred,

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Speaker 1: it's fucking prioritized, it's bulletproof, no one can breach this.

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Speaker 1: And then cut to ten years of fucking everything like

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Speaker 1: to the point where like every analyst who's looked at

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Speaker 1: it said, I've never seen any like a more breathtaking

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Speaker 1: breach of like data ever, because it's and the way

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Speaker 1: that epic like just had an utter lack of security

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Speaker 1: with things made it very easy where even if people

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Speaker 1: are like I need my the site, I need to

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Speaker 1: be anonymized as like the for being the owner of

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Speaker 1: this domain, they're like, yeah, yeah, you can use our

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Speaker 1: anonymised service blah blah blah. They just turned it into

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Speaker 1: a number that was attached to another number that like

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Speaker 1: they could easily cross reference, and they're like, okay, so

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Speaker 1: it's this guy. And so suddenly a lot of people like,

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Speaker 1: I mean this, this breach just happened. So slowly things

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Speaker 1: are coming out, But Anonymous says, quote, the data is

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Speaker 1: all that's needed to trace actual ownership and management of

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Speaker 1: the fascist side of the Internet that is alluded researchers, activists,

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Speaker 1: and well just about everybody. So this has been an

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Speaker 1: interesting thing because epic at first, this guy Rob Monster

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Speaker 1: tried to be He was like, oh, that's nothing, but like,

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Speaker 1: I don't know what's going on, there's nothing happening, and

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Speaker 1: really hasn't acknowledged the extent of this breach. And then

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Speaker 1: there are a lot of other people on the far right,

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Speaker 1: you know, Internet, who are like kind of in this

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Speaker 1: sort of mixed reaction of like confusion, denial, and fear.

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Speaker 1: So it's gonna be a very interesting next couple of weeks.

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Speaker 1: As you know, I think there's gonna be lot of unmasking.

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Speaker 1: I think of of some of these websites a bunch

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Speaker 1: of cops, politicians, love gears. I kind of come when

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Speaker 1: these these quote unquote free speech guys, how come all

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Speaker 1: of the websites they host are always Nazi websites and

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Speaker 1: like fascist websites. How come it's never pro Palestinian websites

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Speaker 1: or anything on the left that somehow Google pushes down

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Speaker 1: in there and their searches. How come it's Oh, it

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Speaker 1: seems like free I don't know about it just seems

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Speaker 1: to me, maybe I'm crazy that when people talk about

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Speaker 1: quote unquote free speech they really just mean fascism and Nazis.

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Speaker 1: I mean recently, that has definitely been the trend. First,

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Speaker 1: for sure, there has been a history of the left

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Speaker 1: being policed, and probably still until recently. It's just the

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Speaker 1: ones that get covered and that get lumped in with

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Speaker 1: these websites tend to be yeah it su premises. Yeah.

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Speaker 1: Rob Monster did like an online like a m a

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Speaker 1: over video, like I don't know why, and it's the

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Speaker 1: fucking weirdest thing I've ever seen, where like journalists are

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Speaker 1: like being like, hey, you host this like website of

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Speaker 1: this guy who docs me, Like you this violates your

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Speaker 1: terms of service, like take down the site now. And

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Speaker 1: he's like yeah, you know, like I'm really transparent, and

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Speaker 1: he's like on his computer like clicking away and he's like, yep,

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Speaker 1: it's down. I just took it down. And then like

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Speaker 1: like like slapping, the slapping of hands like he's pretending

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Speaker 1: he's typing. Oh yeah. They're like we can see your hands,

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Speaker 1: You're not touching anything. He's like I'm deleting everything. And

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Speaker 1: they were like this call had like neo Nazis on

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Speaker 1: it activists. They were like yelling at each other this,

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Speaker 1: but then that at a certain point Rob Monster was

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Speaker 1: like like asking for like angels to rebuke the demons.

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Speaker 1: It was like a whole thing, like I think it's

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Speaker 1: he clearly wasn't did not want to be honest as

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Speaker 1: to just the extent of how bad this breach was

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Speaker 1: and how like vulnerable he left all of his customers.

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Speaker 1: And the other thing is too there's people who I

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Speaker 1: think you or not. I think there are people use

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Speaker 1: EPIC that aren't you know, fascists, so their information is

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Speaker 1: leaked too. But at the same time, I think, really

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Speaker 1: the thing that these researchers are mostly interested by or

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Speaker 1: like former teachers who are running things like you know,

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Speaker 1: dank nugs for like, yeah, no, there there's a new

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Speaker 1: Jersey teacher who got fired for saying that like you know,

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Speaker 1: doing one of his weird COVID is like the Holocaust

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Speaker 1: type takes, and he got fired and then his name

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Speaker 1: came up. Is like owning all kinds of wacky you know,

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Speaker 1: site domains and things like that. So there's like a

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Speaker 1: doctor who owns a ton of Trump websites in California.

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Speaker 1: There's like slowly starting to see things. It's gonna be

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Speaker 1: interesting to see how the Tucker Carlson Show continues to

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Speaker 1: be produced once every single person who works for him

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Speaker 1: is unmasked, because like I know, his main writer got

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Speaker 1: like unmasked as like just the most reprehensible online nazi bully,

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Speaker 1: and he had to let him go, He had to

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Speaker 1: let him resign. Um, I wonder what's going to happen

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Speaker 1: to every single person who writes for him. They'll just

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Speaker 1: keep writing for him, understood it? Yeah, whatever, there ever

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Speaker 1: been repercussions for Tucker Carlson or anyone that works at five?

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Speaker 1: He says, venmo's that right? Or now under the table?

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Speaker 1: Basically sure? By the way, was why wasn't every question

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Speaker 1: at the A M A? Why is your last name? Monster?

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Speaker 1: He his whole thing is just so, his whole energy

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Speaker 1: is just really like he really told all these people

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Speaker 1: he promised them, you know, like in a way like

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Speaker 1: he's he grifted all these far right people too to

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Speaker 1: be like they won't do like I will, even though

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Speaker 1: you know, over the years, think the Pittsburgh synagogue shooting,

422
00:25:54,280 --> 00:25:57,000
Speaker 1: he was like hosting content from that, the one in

423
00:25:57,080 --> 00:25:59,720
Speaker 1: christ Church, Like he's the epic has been involved in

424
00:25:59,800 --> 00:26:03,320
Speaker 1: some the most heinous shit on the Internet, and at

425
00:26:03,320 --> 00:26:04,960
Speaker 1: the same time you would lure them in with this

426
00:26:05,040 --> 00:26:09,160
Speaker 1: promise of like nothing's gonna everything safe. But also every

427
00:26:09,200 --> 00:26:12,120
Speaker 1: analyst said, this is the most laughable security I've ever said,

428
00:26:12,119 --> 00:26:13,600
Speaker 1: like seen in my life. They said it was like

429
00:26:14,080 --> 00:26:16,760
Speaker 1: locking the door to a bank at night, but you

430
00:26:16,840 --> 00:26:19,119
Speaker 1: turn the alarm off and you leave the vault open.

431
00:26:19,280 --> 00:26:20,919
Speaker 1: So all someone has to know how to do is

432
00:26:20,960 --> 00:26:23,600
Speaker 1: just pick the door lock and then you have everything.

433
00:26:24,119 --> 00:26:28,280
Speaker 1: M hm m hm. Wow, sounds like Justified season six.

434
00:26:30,440 --> 00:26:33,480
Speaker 1: I was just thinking about like Watchman, the HBO Watchman

435
00:26:33,560 --> 00:26:37,720
Speaker 1: and all the cops and politicians and people getting unmasked.

436
00:26:37,760 --> 00:26:41,080
Speaker 1: It'll be interesting to see what we what we see

437
00:26:41,280 --> 00:26:47,280
Speaker 1: in the coming days. Let's talk about Facebook. While we're

438
00:26:47,320 --> 00:26:51,520
Speaker 1: on the subject of you know, online leaks. Facebook, there's

439
00:26:51,520 --> 00:26:56,280
Speaker 1: another batch of leaks, and this one reveals that Facebook

440
00:26:56,320 --> 00:26:58,920
Speaker 1: seems ton't know that they are part of the anti

441
00:26:59,000 --> 00:27:03,040
Speaker 1: vax problem. Yeah, it's just like everything we've seen from

442
00:27:03,040 --> 00:27:07,240
Speaker 1: this Wall Street Journal like series is ship we already

443
00:27:07,280 --> 00:27:10,240
Speaker 1: saw from the outside, but thanks for showing us that

444
00:27:10,480 --> 00:27:14,080
Speaker 1: these idiots are absolutely aware of it on the inside too.

445
00:27:14,480 --> 00:27:16,439
Speaker 1: And then this is the latest thing. It deals with,

446
00:27:16,520 --> 00:27:19,720
Speaker 1: like how Zuckerberg apparently know he posts that thing, how

447
00:27:19,760 --> 00:27:23,199
Speaker 1: he really he thinks Facebook's this vehicle for social change

448
00:27:23,200 --> 00:27:25,280
Speaker 1: and that he wanted to flex their might to get

449
00:27:25,320 --> 00:27:29,359
Speaker 1: all these people vaccinated. But his own stupid, fucking algorithms

450
00:27:29,359 --> 00:27:32,680
Speaker 1: and lack of moderation just completely undermined all of it.

451
00:27:33,160 --> 00:27:36,280
Speaker 1: When vaccines became, like you know, pretty available at the

452
00:27:36,359 --> 00:27:39,359
Speaker 1: end of the spring of this year, quote roughly forty

453
00:27:40,000 --> 00:27:43,800
Speaker 1: of comments on English language vaccine related posts risked discouraging

454
00:27:43,880 --> 00:27:47,560
Speaker 1: vaccinations they found. Meanwhile, they said users were seeing comments

455
00:27:47,600 --> 00:27:51,479
Speaker 1: on vaccine related posts seven hundred seventy five million times

456
00:27:51,480 --> 00:27:54,640
Speaker 1: a day, and all in this memo. Facebook researchers were

457
00:27:54,640 --> 00:27:58,320
Speaker 1: worried the large proportion of negative comments could influence perceptions

458
00:27:58,320 --> 00:28:02,120
Speaker 1: of the vaccine, of the vaccines, say, even authoritative sources

459
00:28:02,119 --> 00:28:06,320
Speaker 1: of vaccine information, we're becoming cesspools of anti vaccine comments.

460
00:28:06,359 --> 00:28:08,919
Speaker 1: That's a huge problem and we need to fix it.

461
00:28:08,960 --> 00:28:12,200
Speaker 1: They said. There's a fucking slide in that they're presenting

462
00:28:12,200 --> 00:28:15,000
Speaker 1: internally that said this is a problem we need to fix.

463
00:28:15,040 --> 00:28:18,520
Speaker 1: Because they said, even if we've like spotlight posts from

464
00:28:18,520 --> 00:28:22,760
Speaker 1: the CDC or fauci. The comments just fucking melt down

465
00:28:22,880 --> 00:28:26,280
Speaker 1: and we don't know what to do. So, yeah, at

466
00:28:26,359 --> 00:28:33,080
Speaker 1: what point do we realize, as a society, community, whatever,

467
00:28:33,840 --> 00:28:38,160
Speaker 1: that an algorithm is not a great way to structure anything.

468
00:28:38,920 --> 00:28:43,080
Speaker 1: Like an algorithm runs the Google map app I used

469
00:28:43,120 --> 00:28:47,240
Speaker 1: to get around Los Angeles and it decides that taking

470
00:28:47,360 --> 00:28:51,640
Speaker 1: thirty thousand left turns to get somewhere five seconds earlier

471
00:28:51,960 --> 00:28:56,240
Speaker 1: is a good idea. That's instead of like going a

472
00:28:56,360 --> 00:29:00,920
Speaker 1: straight line and getting there, you know, at ten o'clock

473
00:29:00,920 --> 00:29:04,160
Speaker 1: in five seconds. Right, that's not a smart way to

474
00:29:04,400 --> 00:29:07,040
Speaker 1: I mean we already know that. Like it's racist and

475
00:29:07,840 --> 00:29:09,960
Speaker 1: every other kind of you can think of, because it's

476
00:29:10,000 --> 00:29:13,200
Speaker 1: all because of the way it's the algorithms are designed.

477
00:29:13,600 --> 00:29:15,360
Speaker 1: You know, they kind of follow the brain patterns of

478
00:29:15,400 --> 00:29:20,520
Speaker 1: the designers, so who are overwhelmingly white. So like, at

479
00:29:20,520 --> 00:29:23,320
Speaker 1: what point do we just say, hey, maybe reintroducing humans

480
00:29:23,360 --> 00:29:26,880
Speaker 1: into this chain is a smart thing to do, right, well,

481
00:29:26,880 --> 00:29:28,080
Speaker 1: because at the end of the day, it's just a

482
00:29:28,120 --> 00:29:31,520
Speaker 1: way to set their business on autopilot to keep engagement up,

483
00:29:31,720 --> 00:29:33,880
Speaker 1: and that's all it does. They know, they too, They

484
00:29:33,960 --> 00:29:38,479
Speaker 1: know that their algorithm just creates more discord and just

485
00:29:38,640 --> 00:29:42,160
Speaker 1: fucking chaos. They know that that's how excuse and they

486
00:29:42,200 --> 00:29:43,960
Speaker 1: look at it and I'm like, well, I don't know, like,

487
00:29:44,680 --> 00:29:46,800
Speaker 1: but we can only keep saying this so many times.

488
00:29:47,280 --> 00:29:50,360
Speaker 1: They go on to talk about like they knew that

489
00:29:50,440 --> 00:29:53,080
Speaker 1: they were like they knew it was bad, but and

490
00:29:53,120 --> 00:29:55,760
Speaker 1: they tried to get it under control, but they were

491
00:29:55,800 --> 00:29:59,120
Speaker 1: just so bad at moderating the misinformation it just became

492
00:29:59,120 --> 00:30:02,120
Speaker 1: a runaway train. They said anti vaccine content was twice

493
00:30:02,120 --> 00:30:05,120
Speaker 1: as prevalent in comments sections as in posts, but the

494
00:30:05,120 --> 00:30:08,680
Speaker 1: company's ability to detect or take down problematic comments was

495
00:30:08,800 --> 00:30:13,520
Speaker 1: quote bad in English and basically non existent elsewhere. They

496
00:30:13,560 --> 00:30:16,200
Speaker 1: said that there was like a viral post that was

497
00:30:16,320 --> 00:30:19,880
Speaker 1: saying that like that said quote vaccines are all experimental

498
00:30:19,920 --> 00:30:22,760
Speaker 1: and you are in the experiment. It stayed up because

499
00:30:22,840 --> 00:30:26,760
Speaker 1: quote Facebook systems mistakenly thought it was written in Romanian.

500
00:30:28,360 --> 00:30:34,080
Speaker 1: What they are all English words. I don't understand, like

501
00:30:34,160 --> 00:30:36,760
Speaker 1: what is going on over there? And you know, publicly,

502
00:30:36,800 --> 00:30:39,440
Speaker 1: Facebook has always just sort of scoffed at this idea

503
00:30:39,480 --> 00:30:42,120
Speaker 1: that they have anything to do with vaccine hesitancy, even

504
00:30:42,160 --> 00:30:44,960
Speaker 1: though anyone who looks at anything go, I know this

505
00:30:45,000 --> 00:30:48,200
Speaker 1: person is vax heavy because they're on Facebook all day.

506
00:30:48,320 --> 00:30:51,280
Speaker 1: It's a very straight line for it most people, and

507
00:30:51,760 --> 00:30:54,920
Speaker 1: they've essentially but their own internal memo show that they

508
00:30:54,960 --> 00:30:58,160
Speaker 1: know all this is going on, and the memos make

509
00:30:58,200 --> 00:31:01,680
Speaker 1: it clear they have often made minimal or ineffectual efforts

510
00:31:01,680 --> 00:31:04,120
Speaker 1: to address the issues and they play them down in public.

511
00:31:04,280 --> 00:31:09,520
Speaker 1: So yeah, I mean it's they. The thing about their

512
00:31:10,080 --> 00:31:14,400
Speaker 1: inability to like moderate all of this is purely just

513
00:31:14,440 --> 00:31:17,120
Speaker 1: based on the fact that they want big margins, right,

514
00:31:17,240 --> 00:31:19,960
Speaker 1: they don't want to employ the number of people that

515
00:31:20,000 --> 00:31:24,000
Speaker 1: would take to moderate this ship and like keep the

516
00:31:24,040 --> 00:31:28,480
Speaker 1: public safe. I think we need a fundamental, like kind

517
00:31:28,520 --> 00:31:34,080
Speaker 1: of holistic rethinking of how American capitalism works. And like

518
00:31:34,120 --> 00:31:37,840
Speaker 1: this came up for me in the QR codes story

519
00:31:37,840 --> 00:31:40,920
Speaker 1: that we're about to cover, because as they're like kind

520
00:31:40,920 --> 00:31:46,080
Speaker 1: of instituting these QR codes for vaccine passports essentially around

521
00:31:46,080 --> 00:31:51,920
Speaker 1: the country. There it's like multiple like providers and like

522
00:31:52,160 --> 00:31:54,880
Speaker 1: coders are like providing their own and they're trying to

523
00:31:54,920 --> 00:31:58,680
Speaker 1: compete with one another, and like there's nobody watching, so

524
00:31:58,960 --> 00:32:02,480
Speaker 1: it's easy to like hack into. And with Facebook, it's

525
00:32:03,280 --> 00:32:05,760
Speaker 1: you know, it's been this way for a long time,

526
00:32:05,880 --> 00:32:10,400
Speaker 1: and they're trying to operate as a like billion trillion

527
00:32:10,880 --> 00:32:14,120
Speaker 1: dollar business, a trillion dollar company. They're valued a trillion

528
00:32:14,120 --> 00:32:18,760
Speaker 1: dollars instead of like this should be a government run thing,

529
00:32:18,920 --> 00:32:24,120
Speaker 1: where like we never have any problem with fucking unemployment

530
00:32:24,240 --> 00:32:27,760
Speaker 1: because they there are so many jobs to make this

531
00:32:27,880 --> 00:32:30,920
Speaker 1: run that would make this run well and just be

532
00:32:31,080 --> 00:32:35,240
Speaker 1: like a good source of information, but they refuse to

533
00:32:35,280 --> 00:32:37,480
Speaker 1: do it. They insist on running it like it's a

534
00:32:37,560 --> 00:32:42,160
Speaker 1: fucking like you know, like a marketable like trillion dollar.

535
00:32:42,520 --> 00:32:47,000
Speaker 1: I think they're margins like in the thirty thirty range,

536
00:32:47,280 --> 00:32:51,120
Speaker 1: Like that's an insanely high margin, and that's what they're choosing.

537
00:32:51,120 --> 00:32:54,200
Speaker 1: They're choosing to not spend that money so they have

538
00:32:54,240 --> 00:32:56,960
Speaker 1: a high margin so that people want to invest in

539
00:32:57,000 --> 00:33:01,120
Speaker 1: their company, which that's what the system kind of tells

540
00:33:01,200 --> 00:33:03,480
Speaker 1: them to do. But like the system doesn't work for

541
00:33:03,520 --> 00:33:08,040
Speaker 1: this anymore. Like we've seen that this is killing hundreds

542
00:33:08,040 --> 00:33:11,280
Speaker 1: of thousands of people, like right in front of our eyes,

543
00:33:11,360 --> 00:33:13,680
Speaker 1: right in this report, Like that is what this tells

544
00:33:13,760 --> 00:33:15,880
Speaker 1: us well, And there's also fear that they don't they

545
00:33:15,880 --> 00:33:17,360
Speaker 1: don't even know if there is a number of people

546
00:33:17,400 --> 00:33:20,480
Speaker 1: you could hire to actually moderate it because of the

547
00:33:20,880 --> 00:33:23,200
Speaker 1: millions of users they are on the constant amount of

548
00:33:23,320 --> 00:33:26,080
Speaker 1: user generated content that comes out. Like if there's also

549
00:33:26,160 --> 00:33:30,920
Speaker 1: like question marks about that, right, well, then it's never

550
00:33:31,120 --> 00:33:33,360
Speaker 1: They're never going to there. It's never going to come

551
00:33:33,400 --> 00:33:37,040
Speaker 1: from the top down, right because they have absolutely no

552
00:33:37,240 --> 00:33:40,800
Speaker 1: incentive to do anything about it because it's made them

553
00:33:40,840 --> 00:33:46,200
Speaker 1: wealthy beyond any of our our imaginations. Right, so they

554
00:33:46,400 --> 00:33:49,240
Speaker 1: it really has to be I think, like it has

555
00:33:49,240 --> 00:33:51,040
Speaker 1: to come from the bottom. There has to be some

556
00:33:51,160 --> 00:33:55,000
Speaker 1: kind of like movement that changes not just face, I

557
00:33:55,040 --> 00:34:00,640
Speaker 1: mean literally everything it. Yeah, Sandberg and Zuckerberg, they gotta

558
00:34:00,680 --> 00:34:06,120
Speaker 1: go talk to the I think the Congress again, see

559
00:34:06,160 --> 00:34:08,560
Speaker 1: what We'll see what happens there. But I mean, like

560
00:34:08,719 --> 00:34:11,800
Speaker 1: think about like the thing that was the tech industry

561
00:34:11,840 --> 00:34:16,120
Speaker 1: that was making like minting billionaires back in the like

562
00:34:16,200 --> 00:34:20,359
Speaker 1: guilded age was the railroad system. And then they broke

563
00:34:20,480 --> 00:34:22,959
Speaker 1: up all these massive monopolies and like change the rules

564
00:34:23,000 --> 00:34:25,720
Speaker 1: around that, and now we have fucking amtrack. Like nobody's

565
00:34:25,719 --> 00:34:28,440
Speaker 1: getting rich off the railroads anymore. And it's just a

566
00:34:28,840 --> 00:34:33,439
Speaker 1: like thing. It's a service that like runs that like

567
00:34:33,680 --> 00:34:38,000
Speaker 1: the government has to subsidize and you know, like just

568
00:34:38,200 --> 00:34:40,760
Speaker 1: it's over the course of time, like as you figure

569
00:34:40,800 --> 00:34:43,040
Speaker 1: it out. But like we have figured it out that

570
00:34:43,120 --> 00:34:47,560
Speaker 1: this does not work as a privatized like service. It

571
00:34:47,640 --> 00:34:50,600
Speaker 1: needs to be a public service that is treated like

572
00:34:51,120 --> 00:34:56,120
Speaker 1: anything that is massive and like being used by everybody. Right,

573
00:34:56,160 --> 00:34:59,960
Speaker 1: But who's our Teddy Roosevelt? Right? But it's not Biden By.

574
00:35:00,000 --> 00:35:02,640
Speaker 1: I didn't you know barely you know, getting to noon

575
00:35:02,719 --> 00:35:06,359
Speaker 1: without sundowning. So it's not like it's not gonna be him.

576
00:35:06,400 --> 00:35:09,480
Speaker 1: So who's that person? Have you ever, either of you,

577
00:35:09,640 --> 00:35:13,320
Speaker 1: ever seen a thing on Facebook? And I mean not

578
00:35:13,440 --> 00:35:15,840
Speaker 1: that I'm on for more than like three minutes a day,

579
00:35:16,080 --> 00:35:18,200
Speaker 1: but like, have you ever seen a thing where you're like,

580
00:35:18,239 --> 00:35:21,640
Speaker 1: I don't need to check a second source? This meme

581
00:35:21,840 --> 00:35:27,600
Speaker 1: from vac scoofs dot shit is fine? No, I mean

582
00:35:27,600 --> 00:35:29,960
Speaker 1: not to be honest, I I stopped looking at it

583
00:35:30,000 --> 00:35:33,000
Speaker 1: like maybe seven years ago. I just couldn't. Like once

584
00:35:33,040 --> 00:35:35,200
Speaker 1: I could see like people starting to come out with

585
00:35:35,239 --> 00:35:37,520
Speaker 1: their like wacky takes about anything, I was like, dude,

586
00:35:37,560 --> 00:35:39,319
Speaker 1: this it used to just be a place for me

587
00:35:39,400 --> 00:35:42,240
Speaker 1: to ship talk about old classmates with my other friends,

588
00:35:42,280 --> 00:35:44,960
Speaker 1: to be like did you see their expool? Like they're

589
00:35:45,000 --> 00:35:48,920
Speaker 1: wild and right now, and now it's like all this weird, ridiculous. Okay,

590
00:35:48,960 --> 00:35:52,080
Speaker 1: everyone's unmasking themselves as racists or whatever. I'm like, I

591
00:35:52,080 --> 00:35:58,120
Speaker 1: don't I don't care. There's nothing. There's nothing here for me,

592
00:35:58,160 --> 00:36:00,880
Speaker 1: like the people I know I talk with and people

593
00:36:00,880 --> 00:36:02,560
Speaker 1: who want to get at you know, how to get

594
00:36:02,560 --> 00:36:05,600
Speaker 1: at me, relatives post baby photos. So I go look

595
00:36:05,640 --> 00:36:07,840
Speaker 1: for a couple of minutes a day and they're done. Yeah,

596
00:36:07,960 --> 00:36:13,239
Speaker 1: but those are deep fis. Come on, I meet them

597
00:36:13,239 --> 00:36:15,520
Speaker 1: in real life and I'm like, oh, how's how's Todd

598
00:36:15,600 --> 00:36:17,719
Speaker 1: your your new infant? They're like, what, oh no, no,

599
00:36:17,800 --> 00:36:22,680
Speaker 1: I fin that was holding a potato. All right, let's

600
00:36:22,719 --> 00:36:25,600
Speaker 1: do a quick p s A. The more you know,

601
00:36:25,960 --> 00:36:30,640
Speaker 1: dumb dune dumb Democrats are also greedy pieces of ship.

602
00:36:31,200 --> 00:36:35,080
Speaker 1: Oh yeah, hey blue, no matter who, no matter who,

603
00:36:36,400 --> 00:36:39,600
Speaker 1: no matter who, it's gotta be blue, even if they

604
00:36:39,600 --> 00:36:43,520
Speaker 1: want to raise prescription drug prices on you. So you know,

605
00:36:43,600 --> 00:36:46,880
Speaker 1: prescription drug prices are astronomically high in this country. That's

606
00:36:46,920 --> 00:36:49,360
Speaker 1: something we have all known for many years. It's been

607
00:36:49,400 --> 00:36:52,920
Speaker 1: a constant issue here. Joe Biden knew it. Trump knew it.

608
00:36:53,239 --> 00:36:56,359
Speaker 1: They always talk about how terrible like the prescription drug

609
00:36:56,440 --> 00:36:58,840
Speaker 1: costs are and how they're going to renegotiate things to

610
00:36:58,880 --> 00:37:02,600
Speaker 1: get things down own to a humane level. And you know,

611
00:37:02,680 --> 00:37:04,080
Speaker 1: part of the plan to pay for this three and

612
00:37:04,080 --> 00:37:08,360
Speaker 1: a half trillion dollar infrastructure plan is to like renegotiate

613
00:37:08,400 --> 00:37:11,400
Speaker 1: prescription drug costs so the government can save money and

614
00:37:11,400 --> 00:37:14,520
Speaker 1: then redistribute that as they see fit. But the House

615
00:37:14,640 --> 00:37:18,960
Speaker 1: Energy and Commerce Committee just voted this ship down in committee.

616
00:37:19,120 --> 00:37:22,000
Speaker 1: And the Republicans were never going to be on board

617
00:37:22,200 --> 00:37:24,439
Speaker 1: with this. I think anyone counted that. But it took

618
00:37:24,600 --> 00:37:28,400
Speaker 1: three centrist fucking loser Dems on this committee decided to

619
00:37:28,480 --> 00:37:31,200
Speaker 1: vote it down and block this piece of legislation. And

620
00:37:31,320 --> 00:37:34,240
Speaker 1: just want to say, Kurt Straighter from Oregon, Scott Peters

621
00:37:34,239 --> 00:37:37,319
Speaker 1: from California, and Kathleen Right from New York. There their

622
00:37:37,360 --> 00:37:40,360
Speaker 1: whole thing was saying that like it's gonna harm private

623
00:37:40,440 --> 00:37:45,799
Speaker 1: sector innovation was their fucking reason for this. And I'm like,

624
00:37:46,239 --> 00:37:48,760
Speaker 1: that's just won't speak for they will make less money,

625
00:37:48,800 --> 00:37:51,960
Speaker 1: and they give me a lot to to basically, you know,

626
00:37:52,120 --> 00:37:54,000
Speaker 1: be a full back to blow open the whole for

627
00:37:54,080 --> 00:37:58,880
Speaker 1: them to just they showed that they had a lot

628
00:37:58,920 --> 00:38:01,200
Speaker 1: of evidence that said this will hurt they did. They

629
00:38:01,239 --> 00:38:05,760
Speaker 1: said it'll hurt us because we have collectively gotten around

630
00:38:05,880 --> 00:38:09,200
Speaker 1: almost two million dollars from them in donations, so that

631
00:38:09,239 --> 00:38:11,560
Speaker 1: could suck us up. But this bill was going to

632
00:38:11,680 --> 00:38:15,800
Speaker 1: save the government about four hundred fifty six billion dollars

633
00:38:15,880 --> 00:38:21,120
Speaker 1: and reduced prices by fifty seven to seventy five per cent. Right,

634
00:38:21,719 --> 00:38:25,880
Speaker 1: But they're big pharma fucking darlings U I just Trader

635
00:38:25,880 --> 00:38:30,080
Speaker 1: and Peters. They're among the two biggest fucking recipients of

636
00:38:30,120 --> 00:38:34,000
Speaker 1: pharma donations, like almost a million and a half. Peters

637
00:38:34,040 --> 00:38:36,560
Speaker 1: is right now the currently the top house recipient from

638
00:38:36,560 --> 00:38:39,279
Speaker 1: pharma and there and they know they give to these

639
00:38:39,280 --> 00:38:41,759
Speaker 1: people because they're on these committees that are going to

640
00:38:41,880 --> 00:38:44,040
Speaker 1: dictate the flow of their business. This is how all

641
00:38:44,080 --> 00:38:47,000
Speaker 1: of this ship works. The other thing that's just will

642
00:38:47,040 --> 00:38:51,520
Speaker 1: really leave you quake in your boots. Peters, him, his

643
00:38:51,719 --> 00:38:53,880
Speaker 1: and his whole family. They're estimated to be worth about

644
00:38:53,920 --> 00:38:57,160
Speaker 1: sixty million dollars, like one of the wealthiest people in Congress.

645
00:38:57,200 --> 00:39:00,759
Speaker 1: His wife is the president and CEO of an investment

646
00:39:00,840 --> 00:39:04,719
Speaker 1: firm whose company has you know, manufacturing and packaging for

647
00:39:04,760 --> 00:39:09,279
Speaker 1: pharmaceutical companies. So there's a lot of you know, a

648
00:39:09,360 --> 00:39:12,400
Speaker 1: lot of shoulder rubs going on here and not to

649
00:39:12,480 --> 00:39:16,279
Speaker 1: mention with Mr Schrader, his longtime aid is now a

650
00:39:16,360 --> 00:39:20,200
Speaker 1: top lobbyist for the Pharmaceutical Research and Manufacturers of America

651
00:39:20,400 --> 00:39:26,160
Speaker 1: Pharma for short, which is a very powerful Washington drug lobby.

652
00:39:26,239 --> 00:39:29,960
Speaker 1: And that's textbook revolving doorship. You pick off the people's

653
00:39:30,000 --> 00:39:32,640
Speaker 1: aids to become lobbyists. You offer them so much cash

654
00:39:32,719 --> 00:39:35,799
Speaker 1: their eyes bleed that they go turn lobbyists. And then

655
00:39:35,840 --> 00:39:38,800
Speaker 1: all they've done is paid for like a direct line

656
00:39:39,080 --> 00:39:41,319
Speaker 1: to your old boss who's on it, sitting on a

657
00:39:41,320 --> 00:39:44,799
Speaker 1: committee in Congress. That's how this ship happens constantly. That's

658
00:39:44,840 --> 00:39:47,240
Speaker 1: the same even a house of cards, right, Remy Danton,

659
00:39:47,560 --> 00:39:50,480
Speaker 1: that character he used to be Frank Underwood's top eight,

660
00:39:50,880 --> 00:39:53,880
Speaker 1: and then he became the lobbyist for the Natural Gas

661
00:39:54,000 --> 00:39:58,040
Speaker 1: or whatever company that was. It's just the same, just nonsense.

662
00:39:58,040 --> 00:40:00,600
Speaker 1: And so when we look at how these things don't happen,

663
00:40:00,640 --> 00:40:02,959
Speaker 1: it's because of the money in Congress and the money

664
00:40:03,000 --> 00:40:06,719
Speaker 1: in politics. It's just these people are you know, they're

665
00:40:06,760 --> 00:40:09,879
Speaker 1: they're sponsored by them to make sure legislation that would

666
00:40:10,080 --> 00:40:14,359
Speaker 1: reduce drug costs by fifty seven for humans us just

667
00:40:14,400 --> 00:40:17,759
Speaker 1: doesn't happen. Right, Yeah, That's why I said before. It

668
00:40:17,760 --> 00:40:19,600
Speaker 1: has to be they're never going to do the right thing.

669
00:40:19,640 --> 00:40:24,239
Speaker 1: Either they have no have absolutely no empathy, or they

670
00:40:24,280 --> 00:40:28,239
Speaker 1: are craven little worm tongues. It has to it has

671
00:40:28,280 --> 00:40:29,880
Speaker 1: to be us. It has to be everyone from the

672
00:40:29,920 --> 00:40:33,160
Speaker 1: bottom up. Yeah, And I think, but yeah, I can't

673
00:40:33,200 --> 00:40:36,719
Speaker 1: imagine someone who's worth sixty million dollars even as the

674
00:40:36,719 --> 00:40:40,279
Speaker 1: ability to like open their empathy door to be like,

675
00:40:40,480 --> 00:40:42,839
Speaker 1: oh man, like that's a lot of money, Like maybe

676
00:40:42,840 --> 00:40:44,680
Speaker 1: I should do the right thing. Because at the end

677
00:40:44,680 --> 00:40:47,719
Speaker 1: of the day, lobbying makes it easier to fundraise. It's

678
00:40:47,800 --> 00:40:49,600
Speaker 1: less time they have to spend out in the field

679
00:40:49,680 --> 00:40:51,960
Speaker 1: with their hat in hand, because lobbyous will package a

680
00:40:51,960 --> 00:40:54,239
Speaker 1: bunch of donations for them and then say, remember big

681
00:40:54,280 --> 00:40:56,520
Speaker 1: pharma now and ship like this happens, and if you

682
00:40:56,560 --> 00:40:58,960
Speaker 1: need an excuse, we'll write them up for you and

683
00:40:59,040 --> 00:41:00,640
Speaker 1: there will be really slick and you can go out

684
00:41:00,640 --> 00:41:04,520
Speaker 1: and tell people that it's gonna fucking harm private sector innovation,

685
00:41:05,040 --> 00:41:09,160
Speaker 1: like they're incentive to innovate doesn't vaporize because they make

686
00:41:09,280 --> 00:41:13,400
Speaker 1: less money from gouging people that need essential medicines like I.

687
00:41:13,760 --> 00:41:17,520
Speaker 1: So I just reject that premise entirely. But that's their

688
00:41:17,800 --> 00:41:19,600
Speaker 1: again to your points, craving enough to go out and

689
00:41:19,640 --> 00:41:24,400
Speaker 1: say something like that in public, right again because of margins,

690
00:41:24,440 --> 00:41:29,520
Speaker 1: because pharmaceutical companies are interested in margins, and not like

691
00:41:29,560 --> 00:41:32,759
Speaker 1: there there's no government intervention, there's no regular like these

692
00:41:32,760 --> 00:41:38,839
Speaker 1: are wildly deregulated industries and suggesting, well, we need more regulation,

693
00:41:38,960 --> 00:41:41,560
Speaker 1: like sounds like you're the bad guy from Ghostbusters. So

694
00:41:41,680 --> 00:41:47,080
Speaker 1: like that's yeah, we we've like we're just now coming

695
00:41:47,120 --> 00:41:50,279
Speaker 1: to terms with like how thoroughly we've been fucking like

696
00:41:50,719 --> 00:41:55,440
Speaker 1: steeped in just this idea of like small government, deregulation,

697
00:41:55,760 --> 00:42:00,480
Speaker 1: the market is gonna fucking solve everything, and it just

698
00:42:01,000 --> 00:42:04,160
Speaker 1: story after story, we're just stepping on rakes, you know,

699
00:42:04,440 --> 00:42:07,320
Speaker 1: just like rake after rake, just fucking slamming us in

700
00:42:07,360 --> 00:42:11,320
Speaker 1: the face. Every single one is caused by the same

701
00:42:11,640 --> 00:42:15,719
Speaker 1: kind of logic that was created or at least like

702
00:42:15,840 --> 00:42:19,360
Speaker 1: really got on steroids in the beginning of the eighties,

703
00:42:19,680 --> 00:42:23,000
Speaker 1: and it's been here. All those words you said, like small,

704
00:42:23,200 --> 00:42:25,920
Speaker 1: small government, the free market, those are all just the

705
00:42:26,000 --> 00:42:28,680
Speaker 1: words of the business owning class that have been just

706
00:42:28,760 --> 00:42:32,480
Speaker 1: eat hammered into people's brains, and people are like, right,

707
00:42:32,560 --> 00:42:34,960
Speaker 1: that's what we need without realizing no, no no, no, those

708
00:42:34,960 --> 00:42:39,080
Speaker 1: are talking points that someone exponentially wealthier than you has

709
00:42:39,440 --> 00:42:42,239
Speaker 1: put poison to the discourse with. So now that people

710
00:42:42,239 --> 00:42:45,600
Speaker 1: are like, idea, that's I'm going to keep for that,

711
00:42:45,960 --> 00:42:52,200
Speaker 1: So please destroy your inner fucking Yeah. By the way,

712
00:42:52,200 --> 00:42:55,000
Speaker 1: have you guys heard the urban legend of large margin

713
00:42:58,239 --> 00:43:03,719
Speaker 1: tell large margins said? Yeah, all right, let's take a

714
00:43:03,800 --> 00:43:07,560
Speaker 1: quick break to uh, you know, think about that and

715
00:43:08,040 --> 00:43:23,680
Speaker 1: we'll be back. And we're back. And QR codes were

716
00:43:24,920 --> 00:43:28,320
Speaker 1: as recently as you know that people were writing articles

717
00:43:28,360 --> 00:43:32,319
Speaker 1: fairly recently, they were like QR codes are like it

718
00:43:32,400 --> 00:43:36,440
Speaker 1: kind of felt like the segways of like like like

719
00:43:36,520 --> 00:43:38,920
Speaker 1: they people were like just the way of the future,

720
00:43:39,080 --> 00:43:42,960
Speaker 1: like you know, and like wired and ship and then

721
00:43:43,440 --> 00:43:49,520
Speaker 1: and then yeah exactly, And then companies started adopting them

722
00:43:49,600 --> 00:43:52,720
Speaker 1: and like trying to use them in marketing campaigns, and

723
00:43:53,360 --> 00:43:56,279
Speaker 1: I first of all, they did a bad job. And

724
00:43:56,400 --> 00:43:59,320
Speaker 1: because it was just a gimmick, it wasn't like an actually,

725
00:43:59,440 --> 00:44:02,799
Speaker 1: like sent truly funded thing that they were trying to

726
00:44:02,800 --> 00:44:05,799
Speaker 1: build any significant part of their business on. So we

727
00:44:05,880 --> 00:44:11,239
Speaker 1: had things like Hines put a QR code on their

728
00:44:11,360 --> 00:44:15,799
Speaker 1: catchup bottles and somebody scanned it and was sent to

729
00:44:15,880 --> 00:44:22,839
Speaker 1: a porn website. They also like somebody so like I

730
00:44:22,880 --> 00:44:25,480
Speaker 1: think they just like let the u r L laps

731
00:44:25,600 --> 00:44:28,800
Speaker 1: really quickly after they did the thing. And so somebody

732
00:44:28,840 --> 00:44:30,879
Speaker 1: came in and just had like put a bunch of

733
00:44:30,960 --> 00:44:35,319
Speaker 1: porn videos on Wow a web page, realizing hey, there's

734
00:44:35,320 --> 00:44:37,480
Speaker 1: a lot of traffic going here, and hey, you know

735
00:44:37,520 --> 00:44:43,000
Speaker 1: what monetizes better than anything is pornography. So and then

736
00:44:43,040 --> 00:44:46,400
Speaker 1: there was also one where a company had a QR

737
00:44:46,520 --> 00:44:50,919
Speaker 1: code that you scanned off of a promote, like off

738
00:44:50,960 --> 00:44:53,359
Speaker 1: of the billboard, except they put it on the other

739
00:44:53,440 --> 00:44:56,080
Speaker 1: side of a subway track, so you would have had

740
00:44:56,120 --> 00:45:02,680
Speaker 1: to cross a subway track to scan the advertisement. Gilletted

741
00:45:02,840 --> 00:45:07,120
Speaker 1: the horrible Scan Kate Upton's Brain campaign, where what was that?

742
00:45:07,560 --> 00:45:09,640
Speaker 1: It was just like a thought bubble coming out of

743
00:45:09,719 --> 00:45:13,399
Speaker 1: Kate Upton's brain. It was a thought bubble coming out

744
00:45:13,400 --> 00:45:18,040
Speaker 1: of Kate Bubble, Kate Bupkin bubble, Kate Upton's brain, Like

745
00:45:18,280 --> 00:45:19,719
Speaker 1: this is our thought bubble. And then it was a

746
00:45:19,800 --> 00:45:22,000
Speaker 1: QR code and it says, how does Kate Upton, like

747
00:45:22,080 --> 00:45:25,799
Speaker 1: her Man's body styled read her mind? That's just so

748
00:45:25,920 --> 00:45:28,360
Speaker 1: freaky when you're like, that's the thing the offers like

749
00:45:28,400 --> 00:45:33,759
Speaker 1: read her mind and it looks like robot nightmare, like yeah,

750
00:45:36,040 --> 00:45:39,879
Speaker 1: like oh god, okay, but they have become of late,

751
00:45:40,160 --> 00:45:44,400
Speaker 1: super useful in the pandemic because they offer a touchless

752
00:45:44,440 --> 00:45:48,840
Speaker 1: way to transmit information. Uh. They were first invented like

753
00:45:48,920 --> 00:45:52,040
Speaker 1: fairly recently. I think it was like two thousands seven.

754
00:45:52,560 --> 00:45:57,800
Speaker 1: Somebody invented them. No, sorry, it just seems it seems

755
00:45:57,840 --> 00:46:01,640
Speaker 1: like that's just I've version of two thousand seven because

756
00:46:01,960 --> 00:46:09,240
Speaker 1: inside my brand it's still two. They're created by a

757
00:46:09,239 --> 00:46:13,400
Speaker 1: worker at a Toyota subsidiary who was sick of scanning

758
00:46:13,400 --> 00:46:16,600
Speaker 1: more than one barcode on car parts, so he invented

759
00:46:16,640 --> 00:46:19,360
Speaker 1: a code that could hold three hundred times more data

760
00:46:19,560 --> 00:46:22,239
Speaker 1: using the same amount of space. And he came up

761
00:46:22,239 --> 00:46:25,320
Speaker 1: with the idea while playing Go, the ancient strategy board

762
00:46:25,320 --> 00:46:28,759
Speaker 1: game with black and white pieces on square board, and

763
00:46:28,800 --> 00:46:30,960
Speaker 1: this guy get ripped off by them like the you know,

764
00:46:31,000 --> 00:46:34,480
Speaker 1: the inventor of the chicken nugget basically like McDonald's was like,

765
00:46:34,880 --> 00:46:36,960
Speaker 1: gave him a pad on the head and sent him

766
00:46:37,000 --> 00:46:41,080
Speaker 1: on his way. So here's the thing he was happy too.

767
00:46:41,480 --> 00:46:44,799
Speaker 1: He was like, I don't mind that this is that

768
00:46:44,880 --> 00:46:47,680
Speaker 1: this became extremely popular, and I'm not like a billionaire,

769
00:46:47,719 --> 00:46:51,919
Speaker 1: I'd rather this have become very popular. And he said

770
00:46:51,960 --> 00:46:55,520
Speaker 1: he's in said he's really pleased that it's been used

771
00:46:55,560 --> 00:46:59,440
Speaker 1: to help improve people's safety. So that's the sort of

772
00:46:59,480 --> 00:47:04,480
Speaker 1: like thinking that is just so anathema to like American

773
00:47:04,640 --> 00:47:08,640
Speaker 1: modern American capitalism. But he was just like that, you

774
00:47:08,680 --> 00:47:11,359
Speaker 1: guys take it same with like the vaccines. You know,

775
00:47:11,440 --> 00:47:14,960
Speaker 1: it was like, wait, why would we let everybody just

776
00:47:15,040 --> 00:47:18,359
Speaker 1: have access to this thing that we invested money in?

777
00:47:19,440 --> 00:47:22,400
Speaker 1: So that that's one of the reasons that it's become

778
00:47:23,040 --> 00:47:25,719
Speaker 1: this tool so quickly that we've been able to use

779
00:47:25,840 --> 00:47:30,359
Speaker 1: is because somebody decided to not follow the logic of

780
00:47:31,080 --> 00:47:35,279
Speaker 1: capitalism and instead let it ride, let people use it.

781
00:47:35,400 --> 00:47:38,719
Speaker 1: Someone in Italy even tattooed their vaccine QR code onto

782
00:47:38,719 --> 00:47:42,360
Speaker 1: their arm so that they could successfully scanner. At McDonald

783
00:47:42,560 --> 00:47:45,399
Speaker 1: somebody had printed t shirts that had THEIRS on it.

784
00:47:45,880 --> 00:47:49,440
Speaker 1: So it was it was as recently as people were

785
00:47:49,440 --> 00:47:53,560
Speaker 1: like writing r QR codes dead, but they've become popular

786
00:47:53,920 --> 00:47:57,600
Speaker 1: since inen Like this is what the only time I

787
00:47:57,600 --> 00:48:01,120
Speaker 1: started using them, Apple allowed their camera to scanning QR codes,

788
00:48:01,320 --> 00:48:02,959
Speaker 1: Like that's when I was like, oh, I just opened

789
00:48:03,000 --> 00:48:06,400
Speaker 1: my camera and it immediately opened a web page and

790
00:48:06,440 --> 00:48:09,840
Speaker 1: that's I used to I need an app and nobody

791
00:48:09,920 --> 00:48:11,680
Speaker 1: was doing that. Yeah, and I was like, this is

792
00:48:11,719 --> 00:48:13,560
Speaker 1: fucking dumb, just so I could like open up like

793
00:48:13,600 --> 00:48:18,280
Speaker 1: a promo sprite website, like did you get a discount

794
00:48:18,360 --> 00:48:21,799
Speaker 1: sprite though? No, just they're just like, oh, Grant Hills back,

795
00:48:22,120 --> 00:48:27,600
Speaker 1: did you miss him? And I'm like no, bro, they

796
00:48:27,600 --> 00:48:31,760
Speaker 1: haven't quite nailed it again because they have a bunch

797
00:48:31,800 --> 00:48:35,880
Speaker 1: of different companies, like creating the vaccine passports in Israel.

798
00:48:35,920 --> 00:48:39,440
Speaker 1: The QR code on the Green pass which is there

799
00:48:39,480 --> 00:48:43,560
Speaker 1: like vaccine Passport, had no encryption, leading to a massive

800
00:48:43,560 --> 00:48:47,040
Speaker 1: black market of bogus certificates. Yeah. Yeah, I want to

801
00:48:47,080 --> 00:48:49,120
Speaker 1: go to COVID test the other day and I had

802
00:48:49,120 --> 00:48:51,200
Speaker 1: to show a QR code from when I signed up

803
00:48:51,239 --> 00:48:54,120
Speaker 1: for it, and it led to one of the epics websites.

804
00:48:56,360 --> 00:49:00,560
Speaker 1: Yeah that. Ethical hackers have tried to test the security

805
00:49:00,600 --> 00:49:04,719
Speaker 1: of vaccine QR codes in places like Quebec, where they

806
00:49:04,719 --> 00:49:07,319
Speaker 1: had no encryption, They were able to create their own

807
00:49:07,400 --> 00:49:11,319
Speaker 1: QR codes that spoof the identity of several Quebec politicians,

808
00:49:11,360 --> 00:49:15,440
Speaker 1: including the Premier and in New York here in America,

809
00:49:15,840 --> 00:49:21,000
Speaker 1: there are two competing vaccine verification systems and they both suck.

810
00:49:21,440 --> 00:49:25,360
Speaker 1: The Cities NYC COVID Safe app doesn't rely on a

811
00:49:25,440 --> 00:49:28,239
Speaker 1: QR code. It's basically just an image storing app that

812
00:49:28,280 --> 00:49:31,200
Speaker 1: allows you to take a picture of your vaccination card,

813
00:49:31,760 --> 00:49:36,359
Speaker 1: but it's incredibly easy to spoof. Instead of a vaccine card,

814
00:49:36,440 --> 00:49:39,320
Speaker 1: you could upload everything from a photo of Mickey Mouse

815
00:49:39,320 --> 00:49:43,040
Speaker 1: to a barbecue restaurant menu. They wouldn't notice. And yeah,

816
00:49:43,080 --> 00:49:45,520
Speaker 1: I mean this is this is where I was just like, Okay.

817
00:49:45,560 --> 00:49:48,839
Speaker 1: So there's also the state app, the Excelsior Past, does

818
00:49:48,960 --> 00:49:51,560
Speaker 1: use a QR code, but even that was remarkably easy

819
00:49:51,600 --> 00:49:56,640
Speaker 1: to hack using public information from social media. And so yeah,

820
00:49:56,680 --> 00:50:00,279
Speaker 1: I mean QR codes are actually amazing, consider ring that

821
00:50:00,320 --> 00:50:02,680
Speaker 1: they were literally invented by random dude who was playing

822
00:50:02,680 --> 00:50:06,759
Speaker 1: a board game. But the problem is isn't anything to

823
00:50:06,800 --> 00:50:09,600
Speaker 1: do with technology, it's the way that people have used them.

824
00:50:09,640 --> 00:50:12,279
Speaker 1: They sucked for a long time because corporations were using

825
00:50:12,320 --> 00:50:16,120
Speaker 1: them as a gimmick, and now they are They have

826
00:50:16,239 --> 00:50:21,400
Speaker 1: huge value potentially, but bureaucratic sloppiness in government and in

827
00:50:22,040 --> 00:50:26,279
Speaker 1: you know, open markets is impeding their effectiveness. So but

828
00:50:26,360 --> 00:50:29,600
Speaker 1: there's there's a lot there, Like what if people who

829
00:50:29,680 --> 00:50:33,080
Speaker 1: knew what they were doing, Like if governments would invest in,

830
00:50:33,880 --> 00:50:36,959
Speaker 1: you know, hiring some of those people who work for

831
00:50:37,080 --> 00:50:41,200
Speaker 1: Facebook to work for them, we actually invested in the

832
00:50:41,280 --> 00:50:45,880
Speaker 1: public sector, we would be able to have a functioning system.

833
00:50:46,120 --> 00:50:49,400
Speaker 1: What kind of margins were looking at on the exactly

834
00:50:49,960 --> 00:50:54,880
Speaker 1: large margins? Large margins, Yes, the tell them that is

835
00:50:55,719 --> 00:51:00,320
Speaker 1: the scariest moment maybe in movie history, for like, because

836
00:51:00,520 --> 00:51:03,960
Speaker 1: for when I saw it, how much it scared me,

837
00:51:03,320 --> 00:51:06,840
Speaker 1: I'd have to fast forward. Actually, it's like I hate,

838
00:51:07,040 --> 00:51:09,480
Speaker 1: I actually hate that part. It's it feels like such

839
00:51:09,480 --> 00:51:12,319
Speaker 1: a departure for the from the whole film. Yeah, like

840
00:51:12,360 --> 00:51:14,640
Speaker 1: totally that As a kid, I remember being so offended.

841
00:51:14,640 --> 00:51:17,120
Speaker 1: I was like, this is just too intense. The eyes

842
00:51:17,160 --> 00:51:19,719
Speaker 1: didn't have to shoot out like that. And for those

843
00:51:19,760 --> 00:51:22,840
Speaker 1: who are too young to know talking about Peewe's Big Adventure,

844
00:51:23,239 --> 00:51:26,080
Speaker 1: m hmm, alright, that that one came out in what

845
00:51:26,200 --> 00:51:33,040
Speaker 1: two thousand and eleven, So that's big topee. And finally,

846
00:51:33,160 --> 00:51:36,760
Speaker 1: like in a related story, the fake vaccine card business

847
00:51:36,840 --> 00:51:40,120
Speaker 1: is just a boom in we talked a few weeks

848
00:51:40,520 --> 00:51:44,120
Speaker 1: ago about how bogus cards are being pedaled online. Now,

849
00:51:44,160 --> 00:51:49,080
Speaker 1: the industry is absolutely thriving. Car prices doubled from around

850
00:51:49,400 --> 00:51:52,160
Speaker 1: a hundred to two hundred on average and rose from

851
00:51:52,200 --> 00:51:57,640
Speaker 1: around one thousand sellers to more than ten thousand. This

852
00:51:57,680 --> 00:52:00,279
Speaker 1: is in the days after Biden announced all the right

853
00:52:00,440 --> 00:52:04,240
Speaker 1: right private sector businesses. So what they got? That just uh,

854
00:52:04,520 --> 00:52:08,640
Speaker 1: just hackers making this stuff, cooking it up for people. No,

855
00:52:08,920 --> 00:52:12,759
Speaker 1: it's pretty. It's pretty like there's Etsy was had a

856
00:52:12,760 --> 00:52:16,840
Speaker 1: lot of sellers on there. They're also like drug dealers.

857
00:52:17,160 --> 00:52:21,759
Speaker 1: So somebody from New York meg like reached out to

858
00:52:22,280 --> 00:52:25,360
Speaker 1: a drug dealer. No, no clue how this person had

859
00:52:25,400 --> 00:52:29,920
Speaker 1: this drug dealers? Drug dealer right exactly? Come on, now,

860
00:52:30,000 --> 00:52:33,000
Speaker 1: what the funk? There's a website that will connect journalists

861
00:52:33,040 --> 00:52:35,680
Speaker 1: with drug dealers for stories. No, it's the guy who

862
00:52:35,719 --> 00:52:38,000
Speaker 1: you bought. Indeed, some of the fake cards are being

863
00:52:38,000 --> 00:52:41,760
Speaker 1: provided by drug dealers. Quote. Business is very, very good,

864
00:52:41,840 --> 00:52:45,839
Speaker 1: said Alan, a counterfeit card purveyor who also pedals weed

865
00:52:45,920 --> 00:52:49,680
Speaker 1: and coke. Too good. I need a vacation. And then

866
00:52:49,840 --> 00:52:53,239
Speaker 1: the journalist. I found him on a Facebook anti vaccination

867
00:52:53,280 --> 00:52:55,640
Speaker 1: group and he reluctantly agreed to meet me over a

868
00:52:55,640 --> 00:52:59,560
Speaker 1: frozen margarite at a kitchy Bushwick bar. No, all you

869
00:52:59,600 --> 00:53:02,839
Speaker 1: did was outside my house when he was selling. I mean,

870
00:53:03,520 --> 00:53:06,600
Speaker 1: can you like, what if the article had said like pedals,

871
00:53:06,640 --> 00:53:10,480
Speaker 1: weed and some of the best coke. Don't even you

872
00:53:10,480 --> 00:53:12,440
Speaker 1: don't have to bother to test it. I trust it.

873
00:53:12,600 --> 00:53:17,360
Speaker 1: I mean people, I mean, I mean he reluctantly agreed

874
00:53:17,400 --> 00:53:20,000
Speaker 1: to meet over a frozen margarita at a kitchy bar.

875
00:53:20,320 --> 00:53:22,359
Speaker 1: You were at the bar. He came to drop off

876
00:53:22,360 --> 00:53:24,560
Speaker 1: your eight ball and You're like, hey, you got a second?

877
00:53:24,600 --> 00:53:26,520
Speaker 1: Can I ask you something? And he's like, dude, come on,

878
00:53:26,560 --> 00:53:28,239
Speaker 1: what you know. I don't like. I gotta keep going.

879
00:53:28,280 --> 00:53:30,520
Speaker 1: He's like, what are you doing with the anti the

880
00:53:30,560 --> 00:53:32,600
Speaker 1: vaccine cards? He's like, oh yeah, business is very very

881
00:53:32,600 --> 00:53:34,560
Speaker 1: good man. All right, I gotta go ahead. Tell your

882
00:53:34,600 --> 00:53:36,560
Speaker 1: cousin to stop calling me. And then he checked up

883
00:53:38,120 --> 00:53:41,399
Speaker 1: val dof flesh It off with out with details too much,

884
00:53:41,560 --> 00:53:45,319
Speaker 1: I guess to be the way. Yeah, I don't know.

885
00:53:46,920 --> 00:53:51,600
Speaker 1: I found him on Facebook anti vaccination group. Reluctantly agreed

886
00:53:51,800 --> 00:53:56,839
Speaker 1: like I was like, hey, bro, you're a coke dealer. Wow, random,

887
00:53:56,960 --> 00:54:01,600
Speaker 1: that's so sick. That's hey, how about some frozen marks.

888
00:54:02,280 --> 00:54:04,920
Speaker 1: What's the name of the author. What's the journalist's name?

889
00:54:05,000 --> 00:54:06,440
Speaker 1: I don't I don't have it in front of me,

890
00:54:06,520 --> 00:54:08,200
Speaker 1: but they are definitely just want to look at to

891
00:54:08,200 --> 00:54:12,359
Speaker 1: see if they've got like coke eyes. Just yea. Hey,

892
00:54:12,640 --> 00:54:15,120
Speaker 1: how many ecstasies can I get off of? You? Man?

893
00:54:17,800 --> 00:54:22,600
Speaker 1: How many ecstasies? My good man? Uh? Anyways, people can

894
00:54:22,640 --> 00:54:27,040
Speaker 1: just make their own, though templates are available through sketchy websites,

895
00:54:27,280 --> 00:54:33,319
Speaker 1: such as the Tennessee Department of Health in May. In May,

896
00:54:33,400 --> 00:54:36,719
Speaker 1: the Tennessee Department of Health just posted a blank vaccine

897
00:54:36,760 --> 00:54:41,640
Speaker 1: card template on their website, which I think wasn't the

898
00:54:42,160 --> 00:54:46,960
Speaker 1: woman who was caught because she misspelled the vaccine information.

899
00:54:48,160 --> 00:54:51,680
Speaker 1: She was like from someplace completely different, but I think

900
00:54:51,719 --> 00:54:57,799
Speaker 1: she had a Tennessee vaccine card mm hmm. So yeah,

901
00:54:57,960 --> 00:55:01,560
Speaker 1: watch out for that. If if someone pure friend randomly

902
00:55:01,640 --> 00:55:05,239
Speaker 1: has a Texian vaccine card or a Tennessee vaccine card,

903
00:55:05,280 --> 00:55:09,359
Speaker 1: you might want to, uh, you know, take another look. Yikes,

904
00:55:09,400 --> 00:55:13,799
Speaker 1: I mean, why why put a template up there? I

905
00:55:13,800 --> 00:55:15,640
Speaker 1: I came up and I'm like, I used to do

906
00:55:15,680 --> 00:55:17,960
Speaker 1: this ship when I was in high school. I found

907
00:55:17,960 --> 00:55:20,520
Speaker 1: a template for a New Jersey driver's license to make

908
00:55:20,520 --> 00:55:23,360
Speaker 1: all my friends eight like fake eighteen year old licenses

909
00:55:23,400 --> 00:55:26,120
Speaker 1: so we could buy cigarettes. And I found it because

910
00:55:26,200 --> 00:55:29,719
Speaker 1: I just searched for a license template online. And I'm

911
00:55:29,719 --> 00:55:34,000
Speaker 1: sure version of teen Miles probably saw that ship and

912
00:55:34,040 --> 00:55:36,680
Speaker 1: can cook up things like that. I just don't understand that,

913
00:55:36,800 --> 00:55:40,839
Speaker 1: just the utter lack of consideration on how this information

914
00:55:40,920 --> 00:55:43,600
Speaker 1: is going to be used. And then also are very

915
00:55:43,719 --> 00:55:48,600
Speaker 1: robust cardboard cards too, very safe Miles. Why didn't you

916
00:55:48,600 --> 00:55:50,520
Speaker 1: just do what my friends did, which was have an

917
00:55:50,560 --> 00:55:54,160
Speaker 1: unscrupulous friend work at a supermarket and just steal cartons

918
00:55:54,200 --> 00:55:57,879
Speaker 1: of cigarettes? Oh man, I don't. Yeah, a good good

919
00:55:57,880 --> 00:56:00,920
Speaker 1: call actually on that. I had one friend and who no, no,

920
00:56:01,120 --> 00:56:03,040
Speaker 1: no one, no one, no one who's living there. I

921
00:56:03,080 --> 00:56:05,520
Speaker 1: have one friend whose families owned a bunch of liquor stores,

922
00:56:05,560 --> 00:56:08,600
Speaker 1: and then they could like come through with like boxes

923
00:56:09,640 --> 00:56:12,000
Speaker 1: lack of stolen ship. But that was that was that

924
00:56:12,080 --> 00:56:16,319
Speaker 1: was the limits of my reach. And so you know,

925
00:56:16,360 --> 00:56:19,560
Speaker 1: people are asking the question, could someone tell if the

926
00:56:19,600 --> 00:56:23,120
Speaker 1: paper card wasn't issued by an official medical provider, and

927
00:56:23,200 --> 00:56:28,120
Speaker 1: the associate Professor of Epidemiology at Johns Hopkins Bloomberg reassured

928
00:56:28,200 --> 00:56:35,520
Speaker 1: us a absolutely not. Hell no bug, bro, That is

929
00:56:35,600 --> 00:56:39,040
Speaker 1: so fucking bad. Yeah, I have. What are we gonna do?

930
00:56:39,239 --> 00:56:40,919
Speaker 1: How do we make it? How do we make them?

931
00:56:40,920 --> 00:56:43,560
Speaker 1: Like on bar with a like can't you just add

932
00:56:43,600 --> 00:56:46,480
Speaker 1: a thing to a driver's license? You know? I mean

933
00:56:46,520 --> 00:56:48,640
Speaker 1: it's they had to get them out quick. They had

934
00:56:48,680 --> 00:56:51,360
Speaker 1: to get the vaccines out quickly. But yeah, now, I

935
00:56:51,360 --> 00:56:53,120
Speaker 1: mean at this point, I'm saying, at this point, like

936
00:56:53,160 --> 00:56:56,200
Speaker 1: we need Yeah, you know, I think maybe now because

937
00:56:56,400 --> 00:56:58,680
Speaker 1: for the longest time, the Biden administrations, like we're not

938
00:56:58,719 --> 00:57:03,040
Speaker 1: really talking about out like a sort of identification regime

939
00:57:03,120 --> 00:57:06,080
Speaker 1: type thing because they knew they didn't want to sort

940
00:57:06,120 --> 00:57:07,880
Speaker 1: of rock that boat. But now that they're out here

941
00:57:07,920 --> 00:57:10,920
Speaker 1: with these mandates, you'd hope that they're like, yeah, yeah, yeah,

942
00:57:10,920 --> 00:57:13,120
Speaker 1: we're we're trying to make sure that it's a like

943
00:57:13,200 --> 00:57:15,799
Speaker 1: a thing that yeah, you know, you can't just get

944
00:57:15,800 --> 00:57:19,000
Speaker 1: buy off of eBay. Yeah, you can buy them off

945
00:57:19,040 --> 00:57:22,040
Speaker 1: of eBay. And you can also buy vaccine cards off

946
00:57:22,080 --> 00:57:25,760
Speaker 1: of Amazon in Canada, although not in the US, bummer.

947
00:57:26,160 --> 00:57:29,120
Speaker 1: But like it doesn't really matter how easy it is

948
00:57:29,160 --> 00:57:31,040
Speaker 1: to like get somebody to make one for you, because

949
00:57:31,080 --> 00:57:34,520
Speaker 1: you can make one yourself with the Tennessee thing and

950
00:57:34,760 --> 00:57:39,080
Speaker 1: a fucking pen. So anyways, if you're a counterfeitter, like

951
00:57:39,680 --> 00:57:42,800
Speaker 1: just keep making fake ideas for kids or be a

952
00:57:42,840 --> 00:57:49,440
Speaker 1: fucking drug drug dealer. Don't do this ship kids whatever

953
00:57:49,760 --> 00:57:53,320
Speaker 1: Like that's honestly, like this is way more harmful than

954
00:57:53,920 --> 00:57:59,280
Speaker 1: making can be smoking and under a freeway overpass. Yeah,

955
00:57:59,440 --> 00:58:02,320
Speaker 1: do you guys have just like grasp your head in

956
00:58:02,480 --> 00:58:06,120
Speaker 1: pain at just like how stupid this era is that

957
00:58:06,120 --> 00:58:11,400
Speaker 1: we're living through or where like people would rather like

958
00:58:11,720 --> 00:58:15,240
Speaker 1: have to go through all this counterfeiting. They want to

959
00:58:15,280 --> 00:58:19,840
Speaker 1: take like you know, ground up some earthworms and eat

960
00:58:19,880 --> 00:58:22,880
Speaker 1: them because they think that will cure them or whatever,

961
00:58:23,840 --> 00:58:27,280
Speaker 1: then just doing a normal thing like go get a vaccine.

962
00:58:28,240 --> 00:58:32,680
Speaker 1: It's you know where it's just like another societal realignment

963
00:58:32,920 --> 00:58:35,600
Speaker 1: that we're living through clearly, you know, because it's I

964
00:58:36,240 --> 00:58:38,160
Speaker 1: that's what I keep saying that truly you are just

965
00:58:38,160 --> 00:58:40,040
Speaker 1: scratching your head all the time, like I don't under

966
00:58:40,680 --> 00:58:44,080
Speaker 1: like how how did you arrive to that conclusion? Yeah? No,

967
00:58:44,360 --> 00:58:47,320
Speaker 1: it's just like like I would rather drink pig diarrhea

968
00:58:47,400 --> 00:58:50,040
Speaker 1: than I would get a vaccine like that kind of thing.

969
00:58:50,280 --> 00:58:53,080
Speaker 1: It literally gives me a headache. Yeah, And I think

970
00:58:53,120 --> 00:58:56,480
Speaker 1: that's just part of you know, shows how like our

971
00:58:56,520 --> 00:58:59,560
Speaker 1: media diets and echo chambers and things like that truly

972
00:59:00,120 --> 00:59:05,520
Speaker 1: can create entirely new, vivid realities for people. Yeah, although

973
00:59:05,560 --> 00:59:07,959
Speaker 1: they what they're not telling you is, you know, pig

974
00:59:08,000 --> 00:59:11,640
Speaker 1: diarrhea does cure it, but that is actually just not big.

975
00:59:13,520 --> 00:59:15,360
Speaker 1: They don't want you to know. What's how delicious it

976
00:59:15,440 --> 00:59:19,400
Speaker 1: is and that's big. F A r M A. Thank you.

977
00:59:19,440 --> 00:59:24,040
Speaker 1: Oh no, Andy, it's been a pleasure as always having you.

978
00:59:24,160 --> 00:59:26,880
Speaker 1: Where can people find you and follow you? Oh, Andy

979
00:59:26,960 --> 00:59:32,040
Speaker 1: Backerman on Twitter and Instagram and beginnings wherever you get

980
00:59:32,080 --> 00:59:35,400
Speaker 1: your podcast from you that's the you know, just as

981
00:59:35,400 --> 00:59:37,840
Speaker 1: you said in the beginning the five episode I just

982
00:59:37,880 --> 00:59:41,120
Speaker 1: put out, it's a it's an interview podcast where I

983
00:59:41,160 --> 00:59:44,920
Speaker 1: talked to creators I like, either musicians or writers or

984
00:59:44,960 --> 00:59:50,240
Speaker 1: actors or comedians about their childhoods and they're how those

985
00:59:50,880 --> 00:59:53,480
Speaker 1: childhoods led them to create the things that they create.

986
00:59:53,560 --> 00:59:55,480
Speaker 1: And the five jor of the episode, I talked to

987
00:59:55,640 --> 00:59:59,400
Speaker 1: Arthur Matthews, who's the creator Father Ted and Toast of

988
00:59:59,440 --> 01:00:06,120
Speaker 1: London and a lot of other incredible British comedies. He's great, Yeah, nice,

989
01:00:06,360 --> 01:00:08,240
Speaker 1: thank you guys for having me on. This is a delight.

990
01:00:08,600 --> 01:00:10,840
Speaker 1: Is there a tweet or some of the work of

991
01:00:10,920 --> 01:00:15,440
Speaker 1: social media you've been enjoying. Yes, I got two. You

992
01:00:15,480 --> 01:00:18,000
Speaker 1: can tell me one of them I got too, because

993
01:00:18,880 --> 01:00:21,720
Speaker 1: the first one it's it's you know, unless you're sick

994
01:00:21,720 --> 01:00:25,320
Speaker 1: of Norm McDonald's stuff. At this point, this resurface after

995
01:00:25,360 --> 01:00:27,120
Speaker 1: he just passed away, and I thought it was so funny.

996
01:00:28,280 --> 01:00:29,760
Speaker 1: I'm not going to even try to do his voice.

997
01:00:29,800 --> 01:00:34,240
Speaker 1: But a man is a coin, no obverse without reverse.

998
01:00:34,760 --> 01:00:38,440
Speaker 1: If you like, remember Jeff Epstein as a monster destroying

999
01:00:38,480 --> 01:00:42,160
Speaker 1: lives with a wicked nonchalance. But for me, I will

1000
01:00:42,200 --> 01:00:52,520
Speaker 1: remember him as the man who killed jeff Epstein. Miles.

1001
01:00:52,520 --> 01:00:55,200
Speaker 1: Where can people find you? What's a tweet you've been enjoying?

1002
01:00:55,840 --> 01:00:58,160
Speaker 1: You can find me on Twitter and Instagram at Miles

1003
01:00:58,200 --> 01:01:00,920
Speaker 1: of Gray. Also the other show for twenty day Fiance

1004
01:01:01,120 --> 01:01:04,120
Speaker 1: with Sophia Alexandra. Come by check out our ninety day

1005
01:01:04,240 --> 01:01:07,880
Speaker 1: Fiance takes over. There some tweets I like. First one

1006
01:01:07,960 --> 01:01:12,440
Speaker 1: is this from at Zon underscores z. It's a picture

1007
01:01:12,480 --> 01:01:15,400
Speaker 1: of let's that that scene in the Matrix where Morpheus

1008
01:01:15,480 --> 01:01:17,000
Speaker 1: is like has all that ship hooked up to his

1009
01:01:17,040 --> 01:01:18,960
Speaker 1: head because they're like trying to get all the information

1010
01:01:19,040 --> 01:01:22,040
Speaker 1: and like, you know, Agent Smith is talking to him,

1011
01:01:22,360 --> 01:01:25,520
Speaker 1: and it's in this picture there's Tex superimposed in front

1012
01:01:25,520 --> 01:01:29,320
Speaker 1: of Morpheus's face and says we should destroy the matrix,

1013
01:01:29,400 --> 01:01:33,040
Speaker 1: and Agent Smith says, yet you participate in the matrix.

1014
01:01:34,520 --> 01:01:42,560
Speaker 1: I am very intelligent. I love those takes. Man, Yes,

1015
01:01:42,880 --> 01:01:46,280
Speaker 1: very intelli. Yet you participate, didn't it? And then next

1016
01:01:46,320 --> 01:01:50,360
Speaker 1: one is from at Dan Cannon more of an informative um.

1017
01:01:50,440 --> 01:01:52,439
Speaker 1: He said, happy Frida everyone. To kick off the weekend,

1018
01:01:52,480 --> 01:01:55,760
Speaker 1: let's talk about secondary traumatic stress, and he says, you're

1019
01:01:55,800 --> 01:01:57,800
Speaker 1: about to see a whole lot of this, especially among

1020
01:01:57,920 --> 01:02:01,160
Speaker 1: healthcare workers, teachers, and therapists the wake of COVID nineteen.

1021
01:02:01,240 --> 01:02:03,520
Speaker 1: This thread basically goes on to sort of talk about

1022
01:02:03,520 --> 01:02:07,120
Speaker 1: this phenomenon that is experienced by like lawyers very vividly

1023
01:02:07,240 --> 01:02:10,200
Speaker 1: and other people who are in situations where they are

1024
01:02:10,200 --> 01:02:13,160
Speaker 1: dealing with people that are like very high stakes emotional

1025
01:02:13,240 --> 01:02:16,800
Speaker 1: things and their empathy can almost burn out. And it's

1026
01:02:16,800 --> 01:02:19,160
Speaker 1: just a really interesting thread. I'll retweet it, you can

1027
01:02:19,240 --> 01:02:20,880
Speaker 1: check it out. But I just thought it was a

1028
01:02:20,960 --> 01:02:23,800
Speaker 1: very interesting perspective on like what the effects are on

1029
01:02:23,880 --> 01:02:26,760
Speaker 1: people to like, as we're all sitting here in a pandemic,

1030
01:02:26,840 --> 01:02:30,280
Speaker 1: like watching all this chaos unfold that there is an

1031
01:02:30,320 --> 01:02:32,960
Speaker 1: absolute like there are other forms of stress that we're

1032
01:02:32,960 --> 01:02:38,720
Speaker 1: experiencing that haven't necessarily been articulated clearly. So really interesting tweet. Yeah,

1033
01:02:39,320 --> 01:02:43,200
Speaker 1: uh tweet I've been enjoying. Josh Gondalman tweeted, it's always

1034
01:02:43,200 --> 01:02:46,840
Speaker 1: slightly daring when a routine appointment asks for an emergency contact,

1035
01:02:47,200 --> 01:02:49,960
Speaker 1: like how intense is this apartment tour going to get?

1036
01:02:52,000 --> 01:02:55,880
Speaker 1: And then I like this ad hair cut. Hippy tweeted,

1037
01:02:56,080 --> 01:02:59,320
Speaker 1: there's an extraordinarily defensive style of writing where I can

1038
01:02:59,360 --> 01:03:02,600
Speaker 1: recognize if someone is probably active on Twitter or not

1039
01:03:02,800 --> 01:03:06,920
Speaker 1: by how often they include weird preemptive defenses and positions

1040
01:03:07,000 --> 01:03:09,840
Speaker 1: no same prayers of whatever take like And then his

1041
01:03:09,920 --> 01:03:13,640
Speaker 1: example is I like cheese asterisk. To be clear, I

1042
01:03:13,680 --> 01:03:17,000
Speaker 1: do not think vegans should be grounded to soilent. I'm

1043
01:03:17,040 --> 01:03:19,480
Speaker 1: aware as well of the harms of factory farming as

1044
01:03:19,480 --> 01:03:22,439
Speaker 1: well as the dangers of industrial agriculture, and then goes

1045
01:03:22,480 --> 01:03:25,000
Speaker 1: on and on. But I think that is something I've

1046
01:03:25,280 --> 01:03:29,280
Speaker 1: totally noticed, both in writing and in podcasting. Yeah, you

1047
01:03:29,320 --> 01:03:33,200
Speaker 1: can tell when a podcaster pays attention to their comments

1048
01:03:33,560 --> 01:03:37,400
Speaker 1: and anyways, what do I do now? You can find

1049
01:03:37,440 --> 01:03:40,360
Speaker 1: me on Twitter at Jack Underscore O'Brian. You can find

1050
01:03:40,440 --> 01:03:42,840
Speaker 1: us on Twitter at Daily's like Guys. We're at the

1051
01:03:43,000 --> 01:03:45,640
Speaker 1: Daily's like guyst on Instagram. We have a Facebook fan

1052
01:03:45,680 --> 01:03:48,880
Speaker 1: page and a website Daily's like guys dot com, where

1053
01:03:48,880 --> 01:03:52,520
Speaker 1: we post our episodes. On our footnotes, we link off

1054
01:03:52,560 --> 01:03:55,000
Speaker 1: to the information that we talked about in today's episode,

1055
01:03:55,040 --> 01:03:57,360
Speaker 1: as well as a song that hey, we think you

1056
01:03:57,440 --> 01:04:00,000
Speaker 1: might enjoy, Miles, what song do we think people are

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01:04:00,000 --> 01:04:01,960
Speaker 1: gonna enjoy it? I mean, this is a fun, fun

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01:04:02,040 --> 01:04:05,360
Speaker 1: little rap track to get your next snapping, to get

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01:04:05,440 --> 01:04:08,480
Speaker 1: into your week. It's called jail Break the Tesla feature

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01:04:08,520 --> 01:04:12,080
Speaker 1: in a mename and it's from the trio Injury Reserve.

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01:04:12,680 --> 01:04:14,920
Speaker 1: And yeah, man, it's just a lot of that's a

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Speaker 1: great title. Yeah, it's called jail Break the Tesla. It's

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01:04:17,960 --> 01:04:21,919
Speaker 1: just got energy, the the drums, fucking or probably blow

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01:04:21,920 --> 01:04:25,640
Speaker 1: your doors off. But hey, enjoy it and uh yeah,

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Speaker 1: just to just have a good week, all right. Well,

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Speaker 1: The Daily Zeygei is a production of by Heart Radio

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Speaker 1: from more podcast from my Heart Radio visit Yeah, I

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Speaker 1: Heart Radio, app Apple podcast or wherever you listen to

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01:04:35,800 --> 01:04:38,120
Speaker 1: your favorite shows. That's gonna do it for us. But

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01:04:38,280 --> 01:04:42,360
Speaker 1: we are back this afternoon to tell you what's trending,

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Speaker 1: and we will talk to you all then. Bye bye,